A Randomized Controlled Trial of Video Education versus Skill Demonstration: Which Is More Effective in Teaching Sterile Surgical Technique?
Bibliographic record
Abstract
BACKGROUND: Video education has many advantages over traditional education including efficiency, convenience, and individualized learning. Learning sterile surgical technique (SST) is imperative for medical students, because proper technique helps prevent surgical site infections (SSIs). We hypothesize that video education is at least as effective as traditional skill demonstration in teaching first-year medical students SST. METHODS: A video series was created to demonstrate SST ( https://www.youtube.com/playlist?list=PLcRU-gvOmxE2mwMWkowouBkxGXkLZ8Uis ). A randomized controlled trial was designed to assess which education method best teaches SST: video education or skill demonstration. First-year medical students (n = 129) were consented and randomly assigned into two groups: those who attended a skill demonstration (control group; n = 70) and those who watched the video series (experimental group; n = 59). The control group attended a pre-existing 90-minute nurse educator-led skill demonstration. Participants then completed a 30-item multiple choice quiz to test their knowledge. Each group then received the alternate education method and completed a 23-item follow-up survey to determine their preferred method. RESULTS: Seven 2- to 6-minute videos (30 minutes total) were created on surgical attire, scrubbing, gowning and gloving, and maintaining sterility. The experimental group (n = 51) scored higher on the quiz compared with the control group (n = 63) (88% ± 1% versus 72% ± 1%; p < 0.0001). Students preferred the videos when it came to convenience, accessibility, efficiency, and review, and preferred the skill demonstration when it came to knowledge retention, preparedness, and ease of completion. CONCLUSIONS: Video education is superior to traditional skill demonstration in providing medical students with knowledge of SST. Students identified strengths to each method of teaching. Video education can augment medical students' knowledge prior to their operating room experience to ensure that a sterile environment is maintained for patients. The ultimate goal is to reduce SSIs.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".